Task task7_log_parser

You'll find a log file called `application.log` in the current directory. Parse this log file and extract the following information:

1. Count the total number of ERROR and WARNING level messages
2. Extract all unique IP addresses that appear in the logs
3. Find all timestamps where errors occurred
4. Identify the most common error message (if any patterns exist)

Generate a JSON file called `log_analysis.json` with the following structure:

```json
{
"total_errors": <number>,
"total_warnings": <number>,
"unique_ips": ["ip1", "ip2", ...],
"error_timestamps": ["timestamp1", "timestamp2", ...],
"most_common_error": "<error message or null>"
}
```

Make sure to handle different log formats gracefully and extract the relevant information accurately.

PS: You are currently working in an automated system and cannot ask any question or have back and forth with an user.

Results

15
Models Tested
80.0%
Success Rate
1m 20s
Avg Duration
25s - 10m 0s
Duration Range

Details

Score Model Duration Session (KB) test_1_file_exists.sh test_2_valid_json.sh test_3_correct_counts.sh test_4_unique_ips.sh test_5_error_timestamps.sh test_6_most_common_error.sh
100.0% openrouter/google/gemini-2.5-flash-preview-09-2025 34s 120.5
100.0% openrouter/google/gemini-3-pro-preview 1m 31s 67.4
100.0% openrouter/anthropic/claude-opus-4.5 29s 43.8
100.0% openrouter/openai/gpt-oss-120b 57s 134.5
100.0% openrouter/x-ai/grok-3-mini 45s 227.1
100.0% openrouter/google/gemini-2.5-pro 47s 43.2
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 49s 158.1
100.0% openrouter/openai/gpt-oss-20b 26s 80.2
100.0% openrouter/anthropic/claude-haiku-4.5 25s 47.3
100.0% openrouter/deepseek/deepseek-v3.1-terminus 32s 55.7
100.0% openrouter/anthropic/claude-sonnet-4.5 58s 92.4
100.0% openrouter/x-ai/grok-code-fast-1 33s 57.2
83.3% openrouter/qwen/qwen3-coder 47s 56.7
83.3% openrouter/openai/gpt-4o-mini 38s 108.4
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0